Case Interview Preparation & Management Consulting | Strategy | Critical Thinking 851: Building Hypotheses From Data Exhibits (Case Interview & Management Consulting classics)
Apr 20, 2026
A clear four-step method for turning graph readings into testable hypotheses is laid out. The show walks through assuming client objectives, synthesizing data, crafting a single-concept hypothesis with recommendations, and selecting precise tests. A one-sentence exercise is used to force concise reasoning and improve presentation under pressure.
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Graphs Are Useful Only When Tied To Action
- Reading graphs is less about reading axes and more about deciding what to do with the data.
- Candidates often extract multiple data points but fail to convert them into a single, actionable insight for a specific client context.
Always Start By Stating The Client Objective
- Always assume or confirm the client's objective before analyzing a graph.
- Use that objective to filter and prioritize findings so you produce a single coherent story relevant to the client's needs.
Synthesize Findings Into One Overriding Insight
- Don't list isolated facts; synthesize multiple observations into one overarching insight.
- Example: merge country-level growth and presence data into a single conclusion about developed vs emerging market priorities.